Atari 2600 Open-source System-on-Chip (SoC)

Implementation and performance evaluation of the Bayesian-Expected-Sarsa algorithm in the context of Atari game environment

Taz It is a clone of the nostalgic Atari 2600 game, created by https://mateus.digital

Ram It is a clone of the nostalgic Atari 2600 game, created by https://mateus.digital

[AAAI-22] Curiosity-based objective for exploration with reinforcement learning in state-based and vision-based environments.

⛷ DQN and DDQN algorithms for OpenAI Gym Skiing environment 🎮

Deep Reinforcement Learning with PyTorch and Gym | Q-Learning Algorithm

The code for the famous DQN paper applied on Atari's Breakout.

Small Atari2600 style game I created with PyGame. Taking inpiration from Space Invaders and Tron.

An implementation of Deep Q-Learning from Demonstrations (DQfD) for playing Atari 2600 video games

An Atari 2600 TIA chip controller

Code from "How useful is quantilization for mitigating specification-gaming?"

JAX implementation of deep RL agents with resets from the paper "The Primacy Bias in Deep Reinforcement Learning"

Code associated with the paper "Ego Networks"

An implementation of a Deep Reinforcement Learning model that trains an agent to play Atari 2600 games.

Q-learning script that can learn to play any Atari game using open AI gym.

Playfield Pixel Perfect Pro: The ultimate Atari 2600 playfield designer

A deep-q reinforcement learning agent built from the ground up in Python to play Atari 2600 games based on the work published by DeepMind.

This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Dueling Network, DDPG, SAC, A2C, PPO, TRPO. (More algorithms are still in progress)